The Enterprise Data Catalog - Helion

ebook

Autor: Ole Olesen-Bagneux
ISBN: 9781492098676
stron: 218, Format: ebook
Data wydania: 2023-02-15
Księgarnia: Helion

Cena książki: 228,65 zł (poprzednio: 265,87 zł)
Oszczędzasz: 14% (-37,22 zł)

Osoby, które kupiły tę książkę, wybierały także »

Combing the web is simple, but how do you search for data at work? It's difficult and time-consuming, and can sometimes seem impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance.

Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog. You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog. Written from a data management perspective and from a library and information science perspective, this book helps you:

Learn what a data catalog is and how it can help your organization
Organize data and its sources into domains and describe them with metadata
Search data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphs
Manage the data in your company via a data catalog
Implement a data catalog in a way that exactly matches the strategic priorities of your organization
Understand what the future has in store for data catalogs

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Spis treści

The Enterprise Data Catalog eBook -- spis treści

Foreword
Preface
- Who Should Read This Book
- Navigating This Book
- Conventions Used in This Book
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
I. Organizing Data So You Can Search for It
1. Introduction to Data Catalogs
- The Core Functionality of a Data Catalog
  - Create an Overview of the IT Landscape
  - Organize Data
  - Enable Search of Company Data
- Data Discovery
- The Data Discovery Team
  - Data Architects
  - Data Engineers
  - Data Discovery Team Setup
- End-User Roles and Responsibilities
- Summary
2. Organize Data: Design a Robust Architecture for Search
- Organizing Domains in the Data Catalog
  - Domain Architecture in a Data Catalog
  - Understanding Domains
  - Processes and Capabilities
  - Data Sources
- Getting Assets into the Data Catalog
  - Pull
  - Push
- Organizing Assets in the Domains
  - Asset Metadata
    - Metadata derived from the data source
    - Metadata added in the data catalog
    - Metadata derived from the data source or added in the data catalog
  - Metadata Quality
- Classification
- Summary
3. Understand Search: Concepts, Features, and Mechanics
- Why Do You Search in a Data Catalog?
- Search Features in a Data Catalog
- Searching in Data Versus Searching for Data
- How Do You Search a Data Catalog?
  - Data Catalog Query Language
  - The Search Features in a Data Catalog Explained
    - Simple search
    - Browsing
    - Complex search
  - Searching for Everything?
- The Mechanics of Search
  - Recall and Precision
  - Zipfs Law
  - Serendipity
- Summary
4. Apply Search: From Simple to Advanced Patterns
- Search Like LibrariansNot Like Data Scientists
- Search Patterns
  - Basic Simple Search
  - Detailed Simple Search
  - Flexible Simple Search
  - Range Search
  - Block Search
  - Statement Search
- Browsing Patterns
  - Glossary Browsing
  - Domain Browsing
  - Lineage Browsing
  - Graph Browsing
- Searching a Graph-Based Data Catalog
- Summary
II. Democratizing Data with a Data Catalog
5. Discover Data: Empower End Users and Engage Stakeholders
- A Data Catalog Is a Social Network
- Active Metadata
- Ensure Stakeholder Engagement
  - Engage Data Governance Leaders
  - Engage Data Analytics Leaders
  - Engage Domain Leaders
- Seeing All Data Through One Lens
- The Operational Backbone and the Data Platform
- Summary
6. Access Data: The Keys to Successful Implementation
- Choosing a Data Catalog
  - Vendor Analysis
  - Some Key Vendors
  - Catalog of Catalogs
- How to Access Data
  - Data Providers and Data Consumers
  - Centralized Approach
  - Decentralized Approach
  - Combined Approach
- Building Domains
  - Questionnaire No. 1: Domain Owner Description of Domain and Assets
  - Questionnaire No. 2: Asset Steward Description of Assets in the Domain
  - Questionnaire No. 3: Asset Steward Description of the Glossary Terms of Their Assets
- Summary
7. Manage Data: Improve Lifecycle Management
- The Value of Data Lifecycle Management and Why the Data Catalog Is a Game Changer
- Various Lifecycles
  - Data Lifecycle
  - Using the Data Catalog for Data Lifecycle Management
  - The Data Asset Lifecycle in the Data Catalog
  - Glossary Term Lifecycle
  - Data Source Lifecycle
  - Lifecycle Influence and Support
- Applied Search Based on Lifecycles
- Applied Search for Regulatory Compliance
- Maintenance Best Practices
  - Maintenance of the Data Outside the Data Catalog
  - Maintenance of Metadata Inside the Data Catalog
- Improved Data Lifecycle Management
- Summary
III. Envisioning the Future of Data Catalogs
8. Looking Ahead: The Company Search Engine and Improved Data Management
- The Company Search Engine
- The Company Search Engine in Hugin & Munin
- From Data to Knowledge
- A Medium Theoretical Take on the Company Search Engine
  - Is the Company Search Engine New?
  - Will the Company Search Engine Become Reality?
    - An ever-growing set of connectors
    - The emergence of the data platform
- Summary
Afterword
- Consider Implementing a Data Catalog
- Follow Me
A. Data Catalog Query Language
Index